{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Introduction: Testing Feature Selector\n",
    "\n",
    "In this notebook we will test the feature selector using two additional datasets. We will try out many of the `FeatureSelector` methods on these standard machine learning sets to make sure that it is a minimum working product.\n",
    "\n",
    "https://github.com/WillKoehrsen/feature-selector"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from feature_selector import FeatureSelector\n",
    "\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Air Quality Dataset \n",
    "\n",
    "Regression machine learning task\n",
    "\n",
    "From UCI repository: https://archive.ics.uci.edu/ml/datasets/Air+Quality#"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Time</th>\n",
       "      <th>CO(GT)</th>\n",
       "      <th>PT08.S1(CO)</th>\n",
       "      <th>NMHC(GT)</th>\n",
       "      <th>C6H6(GT)</th>\n",
       "      <th>PT08.S2(NMHC)</th>\n",
       "      <th>NOx(GT)</th>\n",
       "      <th>PT08.S3(NOx)</th>\n",
       "      <th>NO2(GT)</th>\n",
       "      <th>PT08.S4(NO2)</th>\n",
       "      <th>PT08.S5(O3)</th>\n",
       "      <th>T</th>\n",
       "      <th>RH</th>\n",
       "      <th>AH</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>23587200.0</td>\n",
       "      <td>18</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>1360</td>\n",
       "      <td>150</td>\n",
       "      <td>11</td>\n",
       "      <td>9</td>\n",
       "      <td>1046</td>\n",
       "      <td>166</td>\n",
       "      <td>1056</td>\n",
       "      <td>113</td>\n",
       "      <td>1692</td>\n",
       "      <td>1268</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>23587200.0</td>\n",
       "      <td>19</td>\n",
       "      <td>2</td>\n",
       "      <td>1292</td>\n",
       "      <td>112</td>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "      <td>955</td>\n",
       "      <td>103</td>\n",
       "      <td>1174</td>\n",
       "      <td>92</td>\n",
       "      <td>1559</td>\n",
       "      <td>972</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>23587200.0</td>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1402</td>\n",
       "      <td>88</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>939</td>\n",
       "      <td>131</td>\n",
       "      <td>1140</td>\n",
       "      <td>114</td>\n",
       "      <td>1555</td>\n",
       "      <td>1074</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23587200.0</td>\n",
       "      <td>21</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1376</td>\n",
       "      <td>80</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>948</td>\n",
       "      <td>172</td>\n",
       "      <td>1092</td>\n",
       "      <td>122</td>\n",
       "      <td>1584</td>\n",
       "      <td>1203</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>23587200.0</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>1272</td>\n",
       "      <td>51</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>836</td>\n",
       "      <td>131</td>\n",
       "      <td>1205</td>\n",
       "      <td>116</td>\n",
       "      <td>1490</td>\n",
       "      <td>1110</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date  Time  CO(GT)  PT08.S1(CO)  NMHC(GT)  C6H6(GT)  PT08.S2(NMHC)  \\\n",
       "0  23587200.0    18       2            6      1360       150             11   \n",
       "1  23587200.0    19       2         1292       112         9              4   \n",
       "2  23587200.0    20       2            2      1402        88              9   \n",
       "3  23587200.0    21       2            2      1376        80              9   \n",
       "4  23587200.0    22       1            6      1272        51              6   \n",
       "\n",
       "   NOx(GT)  PT08.S3(NOx)  NO2(GT)  PT08.S4(NO2)  PT08.S5(O3)     T    RH  AH  \n",
       "0        9          1046      166          1056          113  1692  1268  13  \n",
       "1      955           103     1174            92         1559   972    13   3  \n",
       "2        0           939      131          1140          114  1555  1074  11  \n",
       "3        2           948      172          1092          122  1584  1203  11  \n",
       "4        5           836      131          1205          116  1490  1110  11  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "air_quality = pd.read_csv('data/AirQualityUCI.csv')\n",
    "air_quality['Date'] = pd.to_datetime(air_quality['Date'])\n",
    "air_quality['Date'] = (air_quality['Date'] - air_quality['Date'].min()).dt.total_seconds()\n",
    "air_quality['Time'] = [int(x[:2]) for x in air_quality['Time']]\n",
    "air_quality.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "labels = air_quality['PT08.S5(O3)']\n",
    "air_quality = air_quality.drop(columns = 'PT08.S5(O3)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "fs = FeatureSelector(data = air_quality, labels = labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 features with greater than 0.50 missing values.\n",
      "\n",
      "0 features with a single unique value.\n",
      "\n",
      "8 features with a correlation magnitude greater than 0.70.\n",
      "\n",
      "Training Gradient Boosting Model\n",
      "\n",
      "Training until validation scores don't improve for 100 rounds.\n",
      "Did not meet early stopping. Best iteration is:\n",
      "[979]\tvalid_0's l2: 900.012\n",
      "Training until validation scores don't improve for 100 rounds.\n",
      "Did not meet early stopping. Best iteration is:\n",
      "[998]\tvalid_0's l2: 1048.62\n",
      "Training until validation scores don't improve for 100 rounds.\n",
      "Did not meet early stopping. Best iteration is:\n",
      "[1000]\tvalid_0's l2: 1153.35\n",
      "Training until validation scores don't improve for 100 rounds.\n",
      "Did not meet early stopping. Best iteration is:\n",
      "[1000]\tvalid_0's l2: 1110.36\n",
      "Training until validation scores don't improve for 100 rounds.\n",
      "Did not meet early stopping. Best iteration is:\n",
      "[986]\tvalid_0's l2: 1303.29\n",
      "Training until validation scores don't improve for 100 rounds.\n",
      "Did not meet early stopping. Best iteration is:\n",
      "[1000]\tvalid_0's l2: 849.95\n",
      "Training until validation scores don't improve for 100 rounds.\n",
      "Did not meet early stopping. Best iteration is:\n",
      "[978]\tvalid_0's l2: 847.454\n",
      "Training until validation scores don't improve for 100 rounds.\n",
      "Did not meet early stopping. Best iteration is:\n",
      "[997]\tvalid_0's l2: 798.651\n",
      "Training until validation scores don't improve for 100 rounds.\n",
      "Did not meet early stopping. Best iteration is:\n",
      "[993]\tvalid_0's l2: 1144.49\n",
      "Training until validation scores don't improve for 100 rounds.\n",
      "Did not meet early stopping. Best iteration is:\n",
      "[1000]\tvalid_0's l2: 1127.75\n",
      "\n",
      "0 features with zero importance after one-hot encoding.\n",
      "\n",
      "9 features required for cumulative importance of 0.90 after one hot encoding.\n",
      "5 features do not contribute to cumulative importance of 0.90.\n",
      "\n",
      "11 total features out of 14 identified for removal after one-hot encoding.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "fs.identify_all(selection_params = {'missing_threshold': 0.5, 'correlation_threshold': 0.7, \n",
    "                                    'task': 'regression', 'eval_metric': 'l2', \n",
    "                                     'cumulative_importance': 0.9})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fs.plot_collinear()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 700x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fs.plot_missing()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10 features required for 0.90 of cumulative importance\n"
     ]
    }
   ],
   "source": [
    "fs.plot_feature_importances(threshold = 0.9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Time</th>\n",
       "      <th>CO(GT)</th>\n",
       "      <th>PT08.S1(CO)</th>\n",
       "      <th>NMHC(GT)</th>\n",
       "      <th>C6H6(GT)</th>\n",
       "      <th>PT08.S2(NMHC)</th>\n",
       "      <th>NOx(GT)</th>\n",
       "      <th>PT08.S3(NOx)</th>\n",
       "      <th>NO2(GT)</th>\n",
       "      <th>PT08.S4(NO2)</th>\n",
       "      <th>T</th>\n",
       "      <th>RH</th>\n",
       "      <th>AH</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>23587200.0</td>\n",
       "      <td>18</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>1360</td>\n",
       "      <td>150</td>\n",
       "      <td>11</td>\n",
       "      <td>9</td>\n",
       "      <td>1046</td>\n",
       "      <td>166</td>\n",
       "      <td>1056</td>\n",
       "      <td>1692</td>\n",
       "      <td>1268</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>23587200.0</td>\n",
       "      <td>19</td>\n",
       "      <td>2</td>\n",
       "      <td>1292</td>\n",
       "      <td>112</td>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "      <td>955</td>\n",
       "      <td>103</td>\n",
       "      <td>1174</td>\n",
       "      <td>92</td>\n",
       "      <td>972</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>23587200.0</td>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1402</td>\n",
       "      <td>88</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>939</td>\n",
       "      <td>131</td>\n",
       "      <td>1140</td>\n",
       "      <td>1555</td>\n",
       "      <td>1074</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23587200.0</td>\n",
       "      <td>21</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1376</td>\n",
       "      <td>80</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>948</td>\n",
       "      <td>172</td>\n",
       "      <td>1092</td>\n",
       "      <td>1584</td>\n",
       "      <td>1203</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>23587200.0</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>1272</td>\n",
       "      <td>51</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>836</td>\n",
       "      <td>131</td>\n",
       "      <td>1205</td>\n",
       "      <td>1490</td>\n",
       "      <td>1110</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date  Time  CO(GT)  PT08.S1(CO)  NMHC(GT)  C6H6(GT)  PT08.S2(NMHC)  \\\n",
       "0  23587200.0    18       2            6      1360       150             11   \n",
       "1  23587200.0    19       2         1292       112         9              4   \n",
       "2  23587200.0    20       2            2      1402        88              9   \n",
       "3  23587200.0    21       2            2      1376        80              9   \n",
       "4  23587200.0    22       1            6      1272        51              6   \n",
       "\n",
       "   NOx(GT)  PT08.S3(NOx)  NO2(GT)  PT08.S4(NO2)     T    RH  AH  \n",
       "0        9          1046      166          1056  1692  1268  13  \n",
       "1      955           103     1174            92   972    13   3  \n",
       "2        0           939      131          1140  1555  1074  11  \n",
       "3        2           948      172          1092  1584  1203  11  \n",
       "4        5           836      131          1205  1490  1110  11  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fs.data_all.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['missing', 'single_unique', 'collinear', 'zero_importance', 'low_importance'] methods have been run\n",
      "\n",
      "Removed 11 features including one-hot features.\n"
     ]
    }
   ],
   "source": [
    "air_quality_removed = fs.remove(methods = 'all', keep_one_hot=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'missing': [],\n",
       " 'single_unique': [],\n",
       " 'collinear': ['PT08.S1(CO)',\n",
       "  'NMHC(GT)',\n",
       "  'NOx(GT)',\n",
       "  'PT08.S3(NOx)',\n",
       "  'PT08.S4(NO2)',\n",
       "  'T',\n",
       "  'RH',\n",
       "  'AH'],\n",
       " 'zero_importance': [],\n",
       " 'low_importance': ['PT08.S4(NO2)',\n",
       "  'PT08.S2(NMHC)',\n",
       "  'NMHC(GT)',\n",
       "  'C6H6(GT)',\n",
       "  'CO(GT)']}"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fs.ops"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fs.plot_collinear(plot_all=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Insurance Dataset\n",
    "\n",
    "Classification machine learning problem.\n",
    "\n",
    "Formatted data from Kaggle: https://www.kaggle.com/uciml/caravan-insurance-challenge/data\n",
    "Originally from UCI machine learning repository: https://archive.ics.uci.edu/ml/datasets/Insurance+Company+Benchmark+%28COIL+2000%29"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MOSTYPE</th>\n",
       "      <th>MAANTHUI</th>\n",
       "      <th>MGEMOMV</th>\n",
       "      <th>MGEMLEEF</th>\n",
       "      <th>MOSHOOFD</th>\n",
       "      <th>MGODRK</th>\n",
       "      <th>MGODPR</th>\n",
       "      <th>MGODOV</th>\n",
       "      <th>MGODGE</th>\n",
       "      <th>MRELGE</th>\n",
       "      <th>...</th>\n",
       "      <th>ALEVEN</th>\n",
       "      <th>APERSONG</th>\n",
       "      <th>AGEZONG</th>\n",
       "      <th>AWAOREG</th>\n",
       "      <th>ABRAND</th>\n",
       "      <th>AZEILPL</th>\n",
       "      <th>APLEZIER</th>\n",
       "      <th>AFIETS</th>\n",
       "      <th>AINBOED</th>\n",
       "      <th>ABYSTAND</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>40</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 85 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   MOSTYPE  MAANTHUI  MGEMOMV  MGEMLEEF  MOSHOOFD  MGODRK  MGODPR  MGODOV  \\\n",
       "0       33         1        3         2         8       0       5       1   \n",
       "1       37         1        2         2         8       1       4       1   \n",
       "2       37         1        2         2         8       0       4       2   \n",
       "3        9         1        3         3         3       2       3       2   \n",
       "4       40         1        4         2        10       1       4       1   \n",
       "\n",
       "   MGODGE  MRELGE    ...     ALEVEN  APERSONG  AGEZONG  AWAOREG  ABRAND  \\\n",
       "0       3       7    ...          0         0        0        0       1   \n",
       "1       4       6    ...          0         0        0        0       1   \n",
       "2       4       3    ...          0         0        0        0       1   \n",
       "3       4       5    ...          0         0        0        0       1   \n",
       "4       4       7    ...          0         0        0        0       1   \n",
       "\n",
       "   AZEILPL  APLEZIER  AFIETS  AINBOED  ABYSTAND  \n",
       "0        0         0       0        0         0  \n",
       "1        0         0       0        0         0  \n",
       "2        0         0       0        0         0  \n",
       "3        0         0       0        0         0  \n",
       "4        0         0       0        0         0  \n",
       "\n",
       "[5 rows x 85 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "insurance = pd.read_csv('data/caravan-insurance-challenge.csv')\n",
    "insurance = insurance[insurance['ORIGIN'] == 'train']\n",
    "labels = insurance['CARAVAN']\n",
    "insurance = insurance.drop(columns = ['ORIGIN', 'CARAVAN'])\n",
    "insurance.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "fs = FeatureSelector(data = insurance, labels = labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 features with greater than 0.80 missing values.\n",
      "\n",
      "0 features with a single unique value.\n",
      "\n",
      "25 features with a correlation magnitude greater than 0.85.\n",
      "\n",
      "Training Gradient Boosting Model\n",
      "\n",
      "Training until validation scores don't improve for 100 rounds.\n",
      "Early stopping, best iteration is:\n",
      "[28]\tvalid_0's auc: 0.75467\n",
      "Training until validation scores don't improve for 100 rounds.\n",
      "Early stopping, best iteration is:\n",
      "[42]\tvalid_0's auc: 0.769954\n",
      "Training until validation scores don't improve for 100 rounds.\n",
      "Early stopping, best iteration is:\n",
      "[143]\tvalid_0's auc: 0.76511\n",
      "Training until validation scores don't improve for 100 rounds.\n",
      "Early stopping, best iteration is:\n",
      "[116]\tvalid_0's auc: 0.734454\n",
      "Training until validation scores don't improve for 100 rounds.\n",
      "Early stopping, best iteration is:\n",
      "[71]\tvalid_0's auc: 0.771283\n",
      "Training until validation scores don't improve for 100 rounds.\n",
      "Early stopping, best iteration is:\n",
      "[48]\tvalid_0's auc: 0.80611\n",
      "Training until validation scores don't improve for 100 rounds.\n",
      "Early stopping, best iteration is:\n",
      "[4]\tvalid_0's auc: 0.746323\n",
      "Training until validation scores don't improve for 100 rounds.\n",
      "Early stopping, best iteration is:\n",
      "[56]\tvalid_0's auc: 0.785309\n",
      "Training until validation scores don't improve for 100 rounds.\n",
      "Early stopping, best iteration is:\n",
      "[65]\tvalid_0's auc: 0.778569\n",
      "Training until validation scores don't improve for 100 rounds.\n",
      "Early stopping, best iteration is:\n",
      "[88]\tvalid_0's auc: 0.768729\n",
      "\n",
      "19 features with zero importance after one-hot encoding.\n",
      "\n",
      "30 features required for cumulative importance of 0.80 after one hot encoding.\n",
      "55 features do not contribute to cumulative importance of 0.80.\n",
      "\n",
      "55 total features out of 85 identified for removal after one-hot encoding.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "fs.identify_all(selection_params = {'missing_threshold': 0.8, 'correlation_threshold': 0.85, \n",
    "                                    'task': 'classification', 'eval_metric': 'auc', \n",
    "                                     'cumulative_importance': 0.8})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "31 features required for 0.80 of cumulative importance\n"
     ]
    }
   ],
   "source": [
    "fs.plot_feature_importances(threshold=0.8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fs.plot_collinear()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Removed 19 features.\n"
     ]
    }
   ],
   "source": [
    "insurance_missing_zero = fs.remove(methods = ['missing', 'zero_importance'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total of 55 features identified for removal\n",
      "55\n"
     ]
    }
   ],
   "source": [
    "to_remove = fs.check_removal()\n",
    "fs.feature_importances.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['missing', 'single_unique', 'collinear', 'zero_importance', 'low_importance'] methods have been run\n",
      "\n",
      "Removed 55 features including one-hot features.\n"
     ]
    }
   ],
   "source": [
    "insurance_removed = fs.remove(methods = 'all', keep_one_hot=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>feature</th>\n",
       "      <th>importance</th>\n",
       "      <th>normalized_importance</th>\n",
       "      <th>cumulative_importance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PBRAND</td>\n",
       "      <td>143.9</td>\n",
       "      <td>0.072567</td>\n",
       "      <td>0.072567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>MOSTYPE</td>\n",
       "      <td>116.4</td>\n",
       "      <td>0.058699</td>\n",
       "      <td>0.131266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>PPERSAUT</td>\n",
       "      <td>83.0</td>\n",
       "      <td>0.041856</td>\n",
       "      <td>0.173122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MINKM30</td>\n",
       "      <td>77.3</td>\n",
       "      <td>0.038981</td>\n",
       "      <td>0.212103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MOPLLAAG</td>\n",
       "      <td>72.6</td>\n",
       "      <td>0.036611</td>\n",
       "      <td>0.248714</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    feature  importance  normalized_importance  cumulative_importance\n",
       "0    PBRAND       143.9               0.072567               0.072567\n",
       "1   MOSTYPE       116.4               0.058699               0.131266\n",
       "2  PPERSAUT        83.0               0.041856               0.173122\n",
       "3   MINKM30        77.3               0.038981               0.212103\n",
       "4  MOPLLAAG        72.6               0.036611               0.248714"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Conclusions\n",
    "\n",
    "More testing is needed and the `FeatureSelector` cannot currently handle datetimes. Nonetheless, this is a good start with decent results!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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